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A comparison of the Z, E/sub 8/ and Leech lattices for image subband quantization

机译:Z,E / sub 8 /和Leech晶格用于图像子带量化的比较

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Lattice vector quantization schemes offer high coding efficiency without the burden associated with generating and searching a codebook. The distortion associated with a given lattice is often expressed in terms of the G number, which is a measure of the mean square error per dimension generated by quantization of a uniform source. Subband image coefficients, however, are best modeled by a generalized Gaussian, leading to distortion characteristics that are quite different from those encountered for uniform, Laplacian, or Gaussian sources. We present here the distortion associated with Z, E/sub 8/, and Leech lattice quantization for coding of generalized Gaussian sources, and show that for low bit rates the Z lattice offers both the best performance and the lowest implementational complexity.
机译:格子矢量量化方案提供高编码效率,而不会产生与生成和搜索码本相关联的负担。与给定晶格相关联的失真通常以G号表示,这是通过量化均匀源产生的每维的平均方误差的量度。然而,子带图像系数是由广义高斯建模的最佳,导致与均匀,拉普拉斯或高斯来源遇到的那些不同的失真特征。我们在这里存在与Z,E / Sub 8 /和Leech晶格量化相关联的失真,用于编码广义高斯源,并且表明对于低比特率,Z格子提供了最佳性能和最低的实施复杂性。

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